{"id":"W2317244213","doi":"10.2514/6.2003-5962","title":"PEM Fuel Cell Stack Modeling","year":2003,"lang":"en","type":"article","venue":"1st International Energy Conversion Engineering Conference (IECEC)","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stack (abstract data type); Fuel cells; Proton exchange membrane fuel cell; Computer science; Nuclear engineering; Engineering; Chemical engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001117043,0.0002923601,0.000223696,0.0002036611,0.00004159866,0.000106421,0.0003144498,0.0001930075,0.0007635946],"category_scores_gemma":[0.00002599768,0.0003054058,0.0000938233,0.0001204379,0.00001732106,0.0002356512,0.00004637425,0.000202949,0.0001415028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281021,"about_ca_system_score_gemma":0.00004087523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004350858,"about_ca_topic_score_gemma":0.000001615272,"domain_scores_codex":[0.9987375,0.00001676169,0.0003333877,0.0002734049,0.0002998754,0.0003391449],"domain_scores_gemma":[0.9994122,0.00003825755,0.00004033495,0.0002143876,0.0001477866,0.0001469991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007931537,0.00002781976,0.0000111217,0.0002526427,0.0000783314,0.00002115406,0.0001074111,0.9415812,0.04632862,0.01099996,0.0005107161,0.00007303805],"study_design_scores_gemma":[0.0004812514,0.00001585415,0.00000554606,0.00006149655,0.0000140682,0.00001191182,0.00006057044,0.8742695,0.01285694,0.0001922236,0.1116771,0.0003535994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1700234,0.004848202,0.2227468,0.000247987,0.02449796,0.000306204,0.00009817017,0.002479953,0.5747513],"genre_scores_gemma":[0.9936258,0.002913469,0.001418042,0.00004342742,0.0001194499,0.00001278764,0.00005671101,0.00006235374,0.001747929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8236024,"threshold_uncertainty_score":0.9999398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009407832089067347,"score_gpt":0.172524900701225,"score_spread":0.1631170686121577,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}